learning_rate: 0.0003
train_batch_size: 2
eval_batch_size: 6
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
lr_scheduler_warmup_steps: 100
num_epochs: 5
mixed_precision_training: Native AMP

Training Loss	Epoch	Step	Validation Loss	Cer	Wer
0.7496	0.9569	200	1.5626	0.3695	0.9149
0.6324	1.9139	400	1.5890	0.3452	0.8913
0.4741	2.8708	600	1.5280	0.3327	0.8677
0.3449	3.8278	800	1.5967	0.3203	0.8630
0.2608	4.7847	1000	1.6572	0.3249	0.8731

ctaguchi/ssc-tob-xlsr300m-model-mix-adapt-max-lowlr

ssc-tob-xlsr300m-model-mix-adapt-max-lowlr